The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "16481230 (up from 16252541 yesterday: 1.41 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "654052 (up from 648637 yesterday: 0.83 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4861134

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.97



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4290259 56336 1.33 1354182 148011 1076 0.73 3.45
Brazil 2442375 23284 0.96 819091 87618 614 0.71 3.59
India 1480073 44457 3.10 760409 33408 637 1.94 2.26
Russia 816680 5607 0.69 129828 13334 85 0.64 1.63
South Africa 452529 7096 1.59 246808 7067 298 4.40 1.56
Mexico 395489 4973 1.27 133739 44022 342 0.78 11.13
Peru 389717 13756 3.66 84014 18418 575 3.22 4.73
Chile 347923 2133 0.62 49366 9187 75 0.82 2.64
United Kingdom 301708 688 0.23 14418 45844 7 0.02 15.19
Iran 293606 2434 0.84 50555 15912 212 1.35 5.42
Pakistan 274289 1176 0.43 39780 5842 20 0.34 2.13
Spain 272421 0 0.00 20632 28432 0 0.00 10.44
Saudi Arabia 268934 1993 0.75 55218 2760 27 0.99 1.03
Colombia 257101 16306 6.77 139689 8777 508 6.14 3.41
Italy 246286 168 0.07 4467 35112 5 0.01 14.26
Turkey 227019 919 0.41 20175 5630 17 0.30 2.48
Bangladesh 226225 2772 1.24 60607 2965 37 1.26 1.31
France 220352 2551 1.17 14755 30212 17 0.06 13.71
Germany 207112 445 0.22 9048 9125 1 0.01 4.41
Argentina 167416 4890 3.01 86969 3059 120 4.08 1.83
Canada 116471 682 0.59 8656 8945 11 0.12 7.68
Iraq 112585 2553 2.32 50310 4458 96 2.20 3.96
Qatar 109597 292 0.27 9252 165 0 0.00 0.15
Indonesia 100303 1525 1.54 35345 4838 57 1.19 4.82
Egypt 92482 420 0.46 16260 4652 46 1.00 5.03
China 86783 213 0.25 1894 4656 4 0.09 5.37
Kazakhstan 84648 1526 1.84 34965 585 0 0.00 0.69
Philippines 82040 1592 1.98 35707 1945 13 0.67 2.37
Ecuador 81161 467 0.58 18781 5532 17 0.31 6.82
Sweden 79395 398 0.50 6334 5700 3 0.05 7.18
Oman 77058 1053 1.39 29323 393 9 2.34 0.51
Bolivia 71181 1752 2.52 30672 2647 64 2.48 3.72
Belarus 67251 119 0.18 3447 538 4 0.75 0.80
Ukraine 67096 835 1.26 17043 1636 11 0.68 2.44
Belgium 66428 402 0.61 4370 9822 1 0.01 14.79
Kuwait 64379 606 0.95 13735 438 5 1.15 0.68
Dominican Republic 64156 1248 1.98 26028 1083 20 1.88 1.69
Israel 63985 2029 3.27 33236 474 4 0.85 0.74
Panama 61442 1146 1.90 22108 1322 28 2.16 2.15
United Arab Emirates 59177 264 0.45 7109 345 1 0.29 0.58
Netherlands 53424 419 0.79 2554 6160 1 0.02 11.53
Singapore 50838 469 0.93 5855 27 0 0.00 0.05
Portugal 50299 135 0.27 6170 1719 2 0.12 3.42
Romania 45902 1104 2.46 16679 2206 19 0.87 4.81
Guatemala 45309 256 0.57 21337 1761 27 1.56 3.89
Poland 43402 337 0.78 7247 1676 5 0.30 3.86
Nigeria 41180 648 1.60 11894 860 2 0.23 2.09
Honduras 39741 465 1.18 15076 1166 50 4.48 2.93
Bahrain 39482 351 0.90 9661 141 1 0.71 0.36
Armenia 37390 73 0.20 8454 711 6 0.85 1.90
Afghanistan 36263 106 0.29 3073 1269 10 0.79 3.50
Switzerland 34477 65 0.19 2162 1978 1 0.05 5.74
Ghana 33624 655 1.99 12547 168 0 0.00 0.50
Kyrgyzstan 33296 483 1.47 25155 1301 24 1.88 3.91
Japan 31142 594 1.94 11294 998 0 0.00 3.20
Azerbaijan 30446 396 1.32 9609 423 6 1.44 1.39
Algeria 27973 616 2.25 11569 1163 8 0.69 4.16
Ireland 25892 11 0.04 361 1764 0 0.00 6.81
Serbia 24141 411 1.73 7721 543 9 1.69 2.25
Moldova 23154 120 0.52 5248 748 13 1.77 3.23
Uzbekistan 21209 678 3.30 10847 121 5 4.31 0.57
Morocco 20887 609 3.00 6508 316 3 0.96 1.51
Austria 20558 86 0.42 2193 713 1 0.14 3.47
Nepal 18752 139 0.75 2788 48 3 6.67 0.26
Kenya 17975 372 2.11 9908 285 5 1.79 1.59
Cameroon 17110 402 2.41 4518 391 6 1.56 2.29
Venezuela 15988 525 3.40 8577 146 4 2.82 0.91
Costa Rica 15841 612 4.02 10600 115 11 10.58 0.73
Cote d’Ivoire 15655 59 0.38 4689 96 0 0.00 0.61
Czechia 15516 192 1.25 2950 373 2 0.54 2.40
Australia 15303 368 2.46 6548 167 6 3.73 1.09
El Salvador 15035 405 2.77 7008 408 8 2.00 2.71
Ethiopia 14547 579 4.15 8701 228 5 2.24 1.57
Korea, South 14203 28 0.20 1022 300 1 0.33 2.11
Denmark 13775 110 0.80 696 613 0 0.00 4.45
Sudan 11424 39 0.34 1530 720 3 0.42 6.30
Bulgaria 10621 194 1.86 4707 347 7 2.06 3.27
West Bank and Gaza 10621 152 1.45 6280 78 2 2.63 0.73
Bosnia and Herzegovina 10498 731 7.48 5040 294 14 5.00 2.80
North Macedonia 10213 127 1.26 3089 466 6 1.30 4.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 458121 5833 1.29 187086 8494 46 0.54 1.85 11594.41 214.97 1 in 86
Florida 432747 8892 2.10 226300 5931 77 1.32 1.37 20148.63 276.15 1 in 50
New York 412344 608 0.15 14695 32645 15 0.05 7.92 21196.32 1678.10 1 in 47
Texas 400336 6252 1.59 194694 5713 637 12.55 1.43 13806.65 197.03 1 in 72
New Jersey 179812 449 0.25 6201 15804 17 0.11 8.79 20244.11 1779.29 1 in 49
Illinois 173894 1231 0.71 26029 7608 18 0.24 4.38 13722.89 600.39 1 in 73
Georgia 170843 2890 1.72 73779 3509 11 0.31 2.05 16090.82 330.49 1 in 62
Arizona 163827 1813 1.12 62372 3304 -1 -0.03 2.02 21514.03 433.89 1 in 46
Massachusetts 115926 289 0.25 5789 8536 7 0.08 7.36 16681.19 1228.29 1 in 60
North Carolina 114916 1979 1.75 40141 1838 21 1.16 1.60 10956.82 175.25 1 in 91
Pennsylvania 112995 1250 1.12 17895 7131 4 0.06 6.31 8826.36 557.02 1 in 113
Louisiana 109917 2343 2.18 43590 3786 23 0.61 3.44 23644.20 814.40 1 in 42
Tennessee 96489 2553 2.72 44450 978 11 1.14 1.01 14120.67 143.13 1 in 71
Michigan 87173 512 0.59 13906 6405 5 0.08 7.35 8728.77 641.34 1 in 115
Virginia 86072 1505 1.78 19970 2082 4 0.19 2.42 10083.98 243.92 1 in 99
Ohio 85177 1104 1.31 27221 3344 37 1.12 3.93 7286.87 286.08 1 in 137
Maryland 84876 1128 1.35 14972 3447 7 0.20 4.06 14039.12 570.16 1 in 71
South Carolina 82417 1218 1.50 36037 1506 15 1.01 1.83 16007.30 292.50 1 in 62
Alabama 81115 1821 2.30 36237 1491 18 1.22 1.84 16543.33 304.09 1 in 60
Indiana 62907 535 0.86 14383 2906 3 0.10 4.62 9344.17 431.66 1 in 107
Washington 53321 686 1.30 16336 1518 17 1.13 2.85 7002.20 199.35 1 in 143
Mississippi 52781 627 1.20 21524 1498 5 0.33 2.84 17734.66 503.34 1 in 56
Minnesota 51803 650 1.27 13234 1616 2 0.12 3.12 9185.53 286.54 1 in 109
Wisconsin 49417 590 1.21 17356 893 1 0.11 1.81 8487.34 153.37 1 in 118
Connecticut 48983 207 0.42 2007 4418 5 0.11 9.02 13738.87 1239.17 1 in 73
Colorado 44547 229 0.52 10307 1799 5 0.28 4.04 7735.55 312.39 1 in 129
Nevada 43831 988 2.31 20922 739 5 0.68 1.69 14230.12 239.92 1 in 70
Missouri 43489 1329 3.15 19278 1221 12 0.99 2.81 7085.87 198.94 1 in 141
Iowa 42696 339 0.80 10938 836 7 0.84 1.96 13532.50 264.97 1 in 74
Arkansas 39447 824 2.13 15194 408 7 1.75 1.03 13071.33 135.20 1 in 77
Utah 38409 436 1.15 12940 281 7 2.55 0.73 11980.51 87.65 1 in 83
Oklahoma 32685 1400 4.47 16323 496 0 0.00 1.52 8260.11 125.35 1 in 121
Kentucky 27586 504 1.86 10434 709 9 1.29 2.57 6174.58 158.70 1 in 162
Kansas 25804 514 2.03 9166 333 2 0.60 1.29 8857.27 114.30 1 in 113
Nebraska 24899 281 1.14 4853 317 1 0.32 1.27 12871.64 163.87 1 in 78
New Mexico 19502 460 2.42 5995 619 5 0.81 3.17 9300.71 295.21 1 in 108
Idaho 18692 514 2.83 10640 152 6 4.11 0.81 10430.43 84.82 1 in 96
Rhode Island 18515 291 1.60 1524 1004 2 0.20 5.42 17477.52 947.74 1 in 57
Oregon 17088 330 1.97 6693 289 0 0.00 1.69 4051.46 68.52 1 in 247
Puerto Rico 15431 288 1.90 6846 201 0 0.00 1.30 4831.71 62.94 1 in 207
Delaware 14406 116 0.81 2113 579 0 0.00 4.02 14794.14 594.60 1 in 68
District of Columbia 11780 0 0.00 1265 581 0 0.00 4.93 16691.49 823.24 1 in 60
South Dakota 8444 49 0.58 1339 123 0 0.00 1.46 9544.92 139.04 1 in 105
New Hampshire 6441 5 0.08 527 409 0 0.00 6.35 4737.04 300.80 1 in 211
West Virginia 5999 110 1.87 2557 104 1 0.97 1.73 3356.75 58.19 1 in 298
North Dakota 5986 110 1.87 2137 99 0 0.00 1.65 7855.00 129.91 1 in 127
Maine 3832 18 0.47 409 119 0 0.00 3.11 2850.74 88.53 1 in 351
Montana 3380 39 1.17 2131 47 1 2.17 1.39 3162.49 43.98 1 in 316
Alaska 2623 98 3.88 1461 21 1 5.00 0.80 3585.56 28.71 1 in 279
Wyoming 2520 45 1.82 845 25 0 0.00 0.99 4354.14 43.20 1 in 230
Hawaii 1711 28 1.66 681 26 0 0.00 1.52 1208.44 18.36 1 in 828
Vermont 1402 2 0.14 151 56 0 0.00 3.99 2246.83 89.75 1 in 445

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7296578 458121 6.28 2503225 187086 7.47 184666.35
2 Florida 3431497 432747 12.61 1197557 226300 18.90 159769.95
3 New York 5627149 412344 7.33 1339018 14695 1.10 289260.61
4 Texas 3428882 400336 11.68 1265153 194694 15.39 118254.11
5 New Jersey 1983841 179812 9.06 434632 6201 1.43 223350.43
6 Illinois 2543376 173894 6.84 759414 26029 3.43 200711.17
7 Georgia 1452963 170843 11.76 494010 73779 14.93 136847.05
8 Arizona 878333 163827 18.65 260492 62372 23.94 115344.10
9 Massachusetts 1131157 115926 10.25 231740 5789 2.50 162768.04
10 North Carolina 1635476 114916 7.03 583630 40141 6.88 155936.58
11 Pennsylvania 1150688 112995 9.82 317364 17895 5.64 89883.53
12 Louisiana 1260022 109917 8.72 446377 43590 9.77 271042.77
13 Tennessee 1411452 96489 6.84 506834 44450 8.77 206558.77
14 Michigan 1700489 87173 5.13 541126 13906 2.57 170272.69
15 Virginia 1039211 86072 8.28 324098 19970 6.16 121751.35
16 Ohio 1344098 85177 6.34 462686 27221 5.88 114987.30
17 Maryland 855518 84876 9.92 268157 14972 5.58 141508.98
18 South Carolina 658901 82417 12.51 219044 36037 16.45 127973.90
19 Alabama 657959 81115 12.33 202864 36237 17.86 134190.12
20 Indiana 707791 62907 8.89 181199 14383 7.94 105134.87
21 Washington 919347 53321 5.80 306641 16336 5.33 120730.13
22 Mississippi 427597 52781 12.34 112909 21524 19.06 143674.59
23 Minnesota 970726 51803 5.34 291033 13234 4.55 172125.77
24 Wisconsin 877186 49417 5.63 253043 17356 6.86 150656.24
25 Connecticut 745051 48983 6.57 220687 2007 0.91 208973.64
26 Colorado 497788 44547 8.95 142133 10307 7.25 86440.50
27 Nevada 444679 43831 9.86 133198 20922 15.71 144368.99
28 Missouri 641904 43489 6.78 215159 19278 8.96 104588.44
29 Iowa 454845 42696 9.39 119383 10938 9.16 144163.20
30 Arkansas 484891 39447 8.14 139923 15194 10.86 160675.65
31 Utah 509858 38409 7.53 134016 12940 9.66 159034.52
32 Oklahoma 568314 32685 5.75 203163 16323 8.03 143623.49
33 Kentucky 547450 27586 5.04 147108 10434 7.09 122535.83
34 Kansas 278936 25804 9.25 76717 9166 11.95 95745.26
35 Nebraska 258827 24899 9.62 67087 4853 7.23 133801.66
36 New Mexico 520718 19502 3.75 145664 5995 4.12 248335.94
37 Idaho 167994 18692 11.13 61529 10640 17.29 93743.25
38 Rhode Island 196618 18515 9.42 -54336 1524 -2.80 185600.56
39 Oregon 382566 17088 4.47 114845 6693 5.83 90704.09
41 Delaware 173059 14406 8.32 45880 2113 4.61 177721.71
42 District of Columbia 174148 11780 6.76 66498 1265 1.90 246756.28
43 South Dakota 106827 8444 7.90 22524 1339 5.94 120755.00
44 New Hampshire 153609 6441 4.19 28374 527 1.86 112971.80
45 West Virginia 266033 5999 2.25 77052 2557 3.32 148859.05
46 North Dakota 148366 5986 4.03 34784 2137 6.14 194690.20
47 Maine 157441 3832 2.43 47891 409 0.85 117125.13
48 Montana 158655 3380 2.13 55729 2131 3.82 148445.23
49 Alaska 207368 2623 1.26 83615 1461 1.75 283465.82
50 Wyoming 48343 2520 5.21 13016 845 6.49 83528.72
51 Hawaii 114115 1711 1.50 29057 681 2.34 80596.97
52 Vermont 90617 1402 1.55 20264 151 0.75 145222.11

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 383723 0 0.00 221944 57.84 147592 13883 0 0.00 3.62
Tamil Nadu 227688 6972 3.16 166956 73.33 57073 3659 88 2.46 1.61
Delhi 132275 1056 0.80 117507 88.84 10887 3881 28 0.73 2.93
Andhra Pradesh 110297 7948 7.77 52622 47.71 56527 1148 58 5.32 1.04
Karnataka 107001 5536 5.46 40504 37.85 64431 2057 104 5.33 1.92
Uttar Pradesh 73951 3458 4.91 44520 60.20 27934 1497 41 2.82 2.02
West Bengal 60830 0 0.00 39917 65.62 19502 1411 0 0.00 2.32
Telangana 57142 1610 2.90 42909 75.09 13753 480 9 1.91 0.84
Gujarat 56874 0 0.00 41482 72.94 13048 2344 0 0.00 4.12
Bihar 43591 2480 6.03 29220 67.03 14101 269 14 5.49 0.62
Rajasthan 37970 406 1.08 26878 70.79 10452 640 7 1.11 1.69
Assam 33577 0 0.00 25403 75.66 8083 88 2 2.33 0.26
Haryana 32127 0 0.00 25046 77.96 6684 397 0 0.00 1.24
Madhya Pradesh 29217 628 2.20 20343 69.63 8044 830 10 1.22 2.84
Odisha 28107 1215 4.52 17374 61.81 10544 189 8 4.42 0.67
Kerala 19728 0 0.00 10045 50.92 9609 64 0 0.00 0.32
Jammu and Kashmir 18879 489 2.66 10885 57.66 7661 333 12 3.74 1.76
Punjab 13769 0 0.00 9064 65.83 4387 318 0 0.00 2.31
Jharkhand 8877 74 0.84 3805 42.86 4979 93 3 3.33 1.05
Chhattisgarh 7980 0 0.00 5172 64.81 2763 45 0 0.00 0.56
Uttarakhand 6328 0 0.00 3675 58.08 2549 66 0 0.00 1.04
Goa 5119 0 0.00 3410 66.61 1673 36 0 0.00 0.70
Tripura 4066 0 0.00 2467 60.67 1564 17 4 30.77 0.42
Puducherry 3011 139 4.84 1782 59.18 1182 47 4 9.30 1.56
Manipur 2286 0 0.00 1559 68.20 727 0 0 NaN 0.00
Himachal Pradesh 2282 12 0.53 1224 53.64 1030 13 0 0.00 0.57
Nagaland 1460 75 5.42 569 38.97 886 5 0 0.00 0.34
Ladakh 1327 21 1.61 1067 80.41 256 4 0 0.00 0.30
Arunachal Pradesh 1239 0 0.00 574 46.33 662 3 0 0.00 0.24
Dadra and Nagar Haveli and Daman and Diu 1003 17 1.72 616 61.42 374 2 0 0.00 0.20
Chandigarh 934 24 2.64 599 64.13 321 14 0 0.00 1.50
Meghalaya 738 0 0.00 186 25.20 547 5 0 0.00 0.68
Sikkim 568 0 0.00 174 30.63 380 1 0 0.00 0.18
Mizoram 384 23 6.37 198 51.56 186 0 0 NaN 0.00
Andaman and Nicobar Islands 338 0 0.00 192 56.80 144 1 0 0.00 0.30
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1265549 95955 34 0.04 7.58 137 14 6725 16801 17.51
Piemonte 487189 31610 4 0.01 6.49 141 5 802 4127 13.06
Emilia-Romagna 617813 29555 33 0.11 4.78 77 4 1456 4285 14.50
Veneto 1182530 19825 16 0.08 1.68 31 0 734 2064 10.41
Toscana 411665 10438 8 0.08 2.54 13 0 363 1131 10.84
Liguria 182797 10174 24 0.24 5.57 29 1 210 1566 15.39
Lazio 407440 8567 13 0.15 2.10 193 9 944 861 10.05
Marche 162840 6827 2 0.03 4.19 5 0 112 987 14.46
P.A. Trento 148644 4966 1 0.02 3.34 1 0 94 405 8.16
Campania 324552 4926 14 0.29 1.52 29 4 365 434 8.81
Puglia 230475 4592 3 0.07 1.99 15 0 79 551 12.00
Friuli Venezia Giulia 241291 3375 0 0.00 1.40 8 2 112 345 10.22
Abruzzo 125155 3368 9 0.27 2.69 13 1 114 471 13.98
Sicilia 264940 3196 3 0.09 1.21 22 4 194 283 8.85
P.A. Bolzano 101707 2700 2 0.07 2.65 7 0 94 292 10.81
Umbria 117303 1465 0 0.00 1.25 7 1 17 80 5.46
Sardegna 103468 1386 0 0.00 1.34 5 0 15 135 9.74
Calabria 116790 1247 0 0.00 1.07 3 0 78 97 7.78
Valle d’Aosta 20977 1196 0 0.00 5.70 1 0 1 146 12.21
Molise 27019 469 3 0.64 1.74 1 0 25 23 4.90
Basilicata 45979 449 1 0.22 0.98 2 0 47 28 6.24

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 58728 145 0.25 5667 0 0.00 9.65 6878.69 663.76 1 in 145
Ontario 40673 115 0.28 2807 1 0.04 6.90 2764.65 190.80 1 in 362
Alberta 10390 304 3.01 186 8 4.49 1.79 2354.33 42.15 1 in 425
British Columbia 3500 81 2.37 193 2 1.05 5.51 684.81 37.76 1 in 1460
Saskatchewan 1209 31 2.63 16 0 0.00 1.32 1023.13 13.54 1 in 977
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Manitoba 400 6 1.52 7 0 0.00 1.75 290.38 5.08 1 in 3444
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2778 22 0.79
Guangdong 1672 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 931 9 0.97
Shandong 799 7 0.88
Shanghai 743 7 0.94
Jiangsu 655 0 0.00
Sichuan 604 3 0.50
Chongqing 583 6 1.03
Fujian 366 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Xinjiang 311 3 0.96
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 209 2 0.96
Tianjin 204 3 1.47
Shanxi 201 0 0.00
Yunnan 190 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 13112.04 452.36 1 in 76
Brazil 11669.25 418.62 1 in 86
India 1105.36 24.95 1 in 905
Russia 5651.76 92.28 1 in 177
South Africa 7978.30 124.59 1 in 125
Mexico 3061.06 340.73 1 in 327
Peru 12114.30 572.52 1 in 83
Chile 19275.51 508.98 1 in 52
United Kingdom 4541.06 690.01 1 in 220
Iran 3617.62 196.06 1 in 276
Pakistan 1392.33 29.65 1 in 718
Spain 5838.43 609.34 1 in 171
Saudi Arabia 8164.36 83.79 1 in 122
Colombia 5239.47 178.87 1 in 191
Italy 4072.19 580.56 1 in 246
Turkey 2809.29 69.67 1 in 356
Bangladesh NA NA 1 in NA
France 3289.33 450.99 1 in 304
Germany 2501.65 110.22 1 in 400
Argentina 3781.70 69.10 1 in 264

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 224051 23500 10.49
Los Angeles California 176028 4375 2.49
Maricopa Arizona 109988 1807 1.64
Miami-Dade Florida 107315 1404 1.31
Cook Illinois 103008 4842 4.70
Harris Texas 66190 655 0.99
Broward Florida 50784 607 1.20
Dallas Texas 47239 607 1.28
Nassau New York 43017 2193 5.10
Suffolk New York 42967 1996 4.65
Clark Nevada 37492 606 1.62
Bexar Texas 36438 480 1.32
Westchester New York 35799 1443 4.03
Orange California 34646 566 1.63
Riverside California 33467 637 1.90
Palm Beach Florida 30958 758 2.45
Philadelphia Pennsylvania 29803 1678 5.63
San Bernardino California 27992 383 1.37
San Diego California 27507 533 1.94
Hillsborough Florida 27483 298 1.08
Orange Florida 27393 174 0.64
Wayne Michigan 26161 2783 10.64
Tarrant Texas 25499 338 1.33
Middlesex Massachusetts 25396 1959 7.71
Prince George’s Maryland 21770 730 3.35
Suffolk Massachusetts 20914 1048 5.01
Bergen New Jersey 20280 2045 10.08
Duval Florida 20001 143 0.71
Mecklenburg North Carolina 19480 188 0.97
Travis Texas 19480 204 1.05
Hudson New Jersey 19387 1502 7.75
Essex New Jersey 19335 2103 10.88
Shelby Tennessee 18654 264 1.42
Milwaukee Wisconsin 18302 427 2.33
Salt Lake Utah 18280 160 0.88
Davidson Tennessee 18136 188 1.04
Middlesex New Jersey 17557 1404 8.00
Fairfield Connecticut 17459 1402 8.03
Passaic New Jersey 17327 1247 7.20
Montgomery Maryland 17164 787 4.59
Essex Massachusetts 16990 1169 6.88
Hennepin Minnesota 16506 807 4.89
Union New Jersey 16376 1347 8.23
Fulton Georgia 16073 371 2.31
Franklin Ohio 15862 494 3.11
Hidalgo Texas 15749 467 2.97
Gwinnett Georgia 15534 216 1.39
Fairfax Virginia 15455 517 3.35
Pinellas Florida 15339 378 2.46
Pima Arizona 15109 418 2.77
Kern California 15003 123 0.82
Out of GA Georgia 14936 74 0.50
King Washington 14579 645 4.42
Lee Florida 14540 259 1.78
Oakland Michigan 14111 1127 7.99
Providence Rhode Island 14033 0 0.00
Rockland New York 13841 673 4.86
Marion Indiana 13818 713 5.16
Jefferson Louisiana 13680 510 3.73
El Paso Texas 13240 216 1.63
Worcester Massachusetts 13140 980 7.46
New Haven Connecticut 12941 1097 8.48
Fresno California 12564 112 0.89
Hartford Connecticut 12390 1410 11.38
Cuyahoga Ohio 11788 454 3.85
District of Columbia District of Columbia 11780 581 4.93
Polk Florida 11717 220 1.88
Lake Illinois 11523 439 3.81
St. Louis Missouri 11507 636 5.53
DeKalb Georgia 11281 207 1.83
Baltimore Maryland 11124 528 4.75
Orange New York 11010 489 4.44
DuPage Illinois 10953 509 4.65
Charleston South Carolina 10740 135 1.26
San Joaquin California 10675 118 1.11
Nueces Texas 10647 148 1.39
Baltimore City Maryland 10579 401 3.79
Alameda California 10438 178 1.71
Yuma Arizona 10434 221 2.12
Jefferson Alabama 10420 203 1.95
Cobb Georgia 10240 288 2.81
Wake North Carolina 10240 113 1.10
Ocean New Jersey 10238 1012 9.88
Norfolk Massachusetts 10013 977 9.76
Orleans Louisiana 10011 552 5.51
East Baton Rouge Louisiana 9985 310 3.10
Monmouth New Jersey 9908 855 8.63
Douglas Nebraska 9712 121 1.25
Yakima Washington 9700 197 2.03
Montgomery Pennsylvania 9555 844 8.83
Greenville South Carolina 9481 157 1.66
Denver Colorado 9256 405 4.38
Santa Clara California 9215 184 2.00
Imperial California 9162 181 1.98
Polk Iowa 9109 193 2.12
Sacramento California 9018 114 1.26
Plymouth Massachusetts 9000 705 7.83
Macomb Michigan 8983 937 10.43
Bristol Massachusetts 8907 617 6.93
Collier Florida 8870 118 1.33

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc